In Tableau, what are dimensions?

In Tableau, dimensions are defined as categorical data that helps to segment and slice the data set for analysis. Examples of dimensions include discrete factors like names, dates, geographic locations, and categories. These elements are typically used to organize and label data, allowing users to group information, create filters, and determine how data is aggregated in visualizations.

Dimensions differ from measures, which consist of quantitative data used for calculations, such as sales numbers or profit margins. While both dimensions and measures are essential for building comprehensive visual analytics in Tableau, dimensions specifically denote the non-numeric, categorical fields that provide context to the numbers—thereby enabling a deeper analysis.

This understanding is crucial for effectively using Tableau to create data visualizations, as the way dimensions and measures are handled influences the resulting charts and dashboards.